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of foundations. You will work closely with academic staff, PhD candidates and project partners. Depending on the needs of the projects and your background, your activities may include: Conducting literature
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learning to understand and predict the behavior of cardiovascular tissues and organs across scales. You will work closely with PhD students, MSc students, and international VITAL partners. This is a full
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succesful candidate has the following qualifications: An PhD degree in either applied physics, chemical engineering, mechanical engineering or a similar field Profound knowledge of thermodynamics and/or fluid
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engineering involve physical systems that evolve over time while exhibiting rich mathematical structure. Fluid flows, reactive materials, biological systems, plasmas, and complex engineered processes
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Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Hey machine learning enthusiast with a love for physics and
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, Mathematics, Bioengineering or a related discipline PhD in Physics, Applied Science, or a related discipline Experience in statistical physics, stochastic processes and/or data analysis methods Strong interest
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fair recruitment process that does not rely purely on common research metrics. The successful applicant will have: A PhD in Materials Science, Applied Physics, Electrical Engineering, Chemistry or a
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Hey machine learning enthusiast with a love for physics and complex systems, will you help us develop a new generation of road traffic prediction methods? Job description Road traffic is a highly
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publications (policy briefs, outreach materials). Presenting results at conferences, workshops, and stakeholder events. Engage in educational activities that contribute to your professional growth in the project
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. Moreover, you will work closely with the other two postdoctoral researchers hired in the project to work on experimental thermo-mechanics and the reservoir modeling. Job requirements Need-to-haves: PhD in